Machine Learning Engineering on AWS — Build, scale, and secure ML systems and MLOps pipelines in production: http://
amzn.to/3vLzAKW via @PacktDataML ———— #AI #DataScience #DataScientist
ENTERPRISE AI
-
Machine Learning Engineering and MLOps Pipelines on AWS
By
–
-
GridGain In-Memory Computing Platform for Big Data Analytics and AI
By
–
GridGain! #InMemoryComputing Platform! @gridgain #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode lnkd.in/gVc3JBsE
→ View original post on X — @gp_pulipaka, 2026-04-06 03:57 UTC
-
Scaling Seismic Foundation Models on AWS SageMaker HyperPod
By
–
Scaling Seismic Foundation Models on AWS Platform: Distributed Training with Amazon SageMaker HyperPod Context! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing
-
Major AI Companies Collaborate: MiniMax, Kimi, GLM, Xiaomi Partnership
By
–
Wut. We work with MiniMax, Kimi, GLM, Xiaomi, the whole gang.
-
Crypto Billionaire Invests $1 Billion in Brain-Based AI Technology
By
–
The Crypto Billionaire Betting $1 Billion To Build AI Based On The Human brain 🧠 piped.video/Mp_K9V5tkVQ?si=g1Im… via @YouTube #artificialintelligence #AI #brain #tech #humanbrain @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom @Fabriziobustama @sallyeaves @helene_wpli @ahier @rwang0 @EvanKirstel @RLDI_Lamy @Analytics_699 @Khulood_Almani @tewoz @chidambara09 @IsabellePiel29 @ClementIsa @SvetBnov @mallys @jeancayeux @aure79lien @EricTIXADOR @thierry_pires @DanielleLargier @CurieuxExplorer @DigitalColmer @nincoroby @Guillaume_Rio @CecileGauffriau @MadiSeydi @DataScienceDojo @KirkDBorne @dhinchcliffe @jeffkagan
-
Adjusting Management and Leadership Style in the AI Age
By
–
RT @AGraylin: If you’ve been wondering how you may want to adjust your #management or #leadership style in the age of #AI and rapid change,…
-
DataHub Intelligence: Manufacturing Data Middleware Solution
By
–
DataHub Intelligence sits between your existing systems and analytics tools.
— Lucian Fogoros (@fogoros) 5 avril 2026
It reads operational data in place, adds manufacturing context, then delivers structured datasets for AI, analytics. The middleware your data team needed. PartnerContent with @HighbyteInc. #highbyte_iiot pic.twitter.com/enbDGdM9fLDataHub Intelligence sits between your existing systems and analytics tools. It reads operational data in place, adds manufacturing context, then delivers structured datasets for AI, analytics. The middleware your data team needed. PartnerContent with @HighbyteInc. #highbyte_iiot
-
Life Sciences Agentic AI Use Cases Status Report
By
–
Life sciences: Status of #AgenticAI use cases
by @Gartner_inc #GenerativeAI #ArtificialIntelligence #MachineLearning -
Levangie Labs Agents Outperform Hermes on Cloud Infrastructure
By
–
Although the site is done by agents created by Levangie Labs running on cloud. Better than what Hermes can do.
-
Scaling Data Ingestion Without Breaking the Platform
By
–
Scaling Data Ingestion from Hundreds to Thousands of Sources Without Breaking the Platform tinyurl.com/49adj6yc via @LinkedIn #ArtificialIntelligence #GenerativeAI #EnterpriseAI #AIArchitecture #DataArchitecture #DataPlatforms #AIStrategy #CIO #CTO #ChiefDataOfficer #ExecutiveLeadership #AgenticAI #RAG [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-05 19:38 UTC